Medicaid

This report examines how health plans can partner to promote successful integration of care for enrollees with behavioral health conditions. As part of this report, CHCS interviewed leaders of organizations that are partnering to integrate care.. The report analyzes findings from Colorado, Oregon, Arizona, And Arkansas and highlights key elements that contribute to successful partnerships between physical and behavioral health organizations.

This issue brief discusses state policy trends using data from KFF’s 18th annual 50-state survey. It discusses policy areas such as implementation of electronic visit verification and value based payment models. The brief highlights key findings across the topics areas of HCBS program flexibility, MLTSS, and response to federal regulations

This brief includes the latest (FY 2018) Medicaid HCBS enrollment and spending data from KFF’s 18th annual 50-state survey. It contains data about per-enrollee spending on HCBS by target population and HCBS waiver waiting lists. This issue brief also includes tables with detailed state-level data. One key finding analyzed here is that most HCBS enrollees receive services provided at the state option.

This brief highlights the efforts of states who implemented Value Based Payment initiatives within systems that support individuals with intellectual or developmental disabilities (I/DD). The brief emphasizes the importance of understanding the population and provides an overview of the population served and their length of engagement with the service system. It looks at the experiences of OH and WA in the Medicaid Innovation Accelerator Partnership program from April 2018 to September 2019.

This report looks at the changes states implemented to their Medicaid or other publicly-funded consumer directed home care programs in order to comply with the 2013 FLSA Home Care Rule. The report includes perspectives from various stakeholders and describes issues raised in interviews. It provides an overview of early implementation efforts, an environmental scan of state policies and procedures, and a case study examination of states with well-documented hardship exceptions.

The CMS Office of the Actuary released the 2018 National Health Expenditures. The study includes estimates on health care services and goods, health insurance costs, government administration, public health activities, and other areas related to health care including personal care, residential services, and nursing care facilities.

This updated annual report examines spending in the functional areas of state budgets and includes fiscal 2017-2019 data. The report looks at spending in the areas of elementary and secondary education, higher education, public assistance, Medicaid, corrections, transportation, and all other. It includes state-by-state breakdowns, highlights data on capital expenditures by program area, and reviews revenue sources.

This report is the fourth in a series of publications from the MLTSS Institute, which was established in 2016 to drive improvements in key MLTSS policy areas, facilitate sharing and learning among states, and provide direct and intensive technical assistance to states and health plans. This issue brief focuses on delivering effective care to individuals eligible for both Medicare and Medicaid and aims to lay out the case for state Medicaid agencies to invest in integrated care programs.

The Financial Alignment Initiative (FAI) is intended to improve the quality of care and reduce spending for low-income people who are dually eligible. Mathematica researchers conducted a study to identify reasons for the varying participation rates across states. This brief explores the details of two major factors: passive enrollment and demonstration/MLTSS alignment.

CMCS has released the FFY 2018 Adult Core Set data. This data set provides information on 23 adult measures voluntarily reported by states. Recently released publications include an overview of 2018 findings, a core set chart pack, a summary of performance on measures, and the 2018 quality measures dataset.